Advancements in Digital Pathology: Integrating Artificial Intelligence for Diagnostic Accuracy
Keywords:
Digital pathology, artificial intelligence, diagnostic accuracy, image analysis, machine learning, pathology workflow, clinical practice, healthcare technology.Abstract
Digital pathology, enhanced by advancements in artificial intelligence (AI), has
revolutionized diagnostic practices in pathology. This research paper explores the integration
of AI in digital pathology and its impact on diagnostic accuracy. The application of AI in
image analysis, data processing, and decision-making is improving the precision and
efficiency of pathological diagnoses. This paper reviews current developments, challenges,
and the future potential of AI-enhanced digital pathology in clinical practice. The findings
indicate that AI-driven approaches are transforming pathology workflows, providing faster
and more accurate results that assist pathologists in making informed decisions. However,
barriers such as data quality, algorithm transparency, and ethical considerations remain
critical for the widespread adoption of these technologies.
